Geo-spatial analysis of built-environment exposure to flooding: Iowa case study

被引:0
|
作者
Yazeed Alabbad
Ibrahim Demir
机构
[1] University of Iowa,IIHR Hydroscience and Engineering
[2] University of Iowa,Civil and Environmental Engineering
[3] King Saud University,Civil Engineering
[4] University of Iowa,Electrical and Computer Engineering
来源
Discover Water | / 4卷 / 1期
关键词
Flood exposure; Geospatial analysis; Floods; Fuzzy overlay analysis;
D O I
10.1007/s43832-024-00082-0
中图分类号
学科分类号
摘要
Flooding is the most frequent type of natural disaster, inducing devastating damage at large and small spatial scales. Flood exposure analysis is a critical part of flood risk assessment. While most studies analyze the exposure elements separately, it is crucial to perform a multi-parameter exposure analysis and consider different types of flood zones to gain a comprehensive understanding of the impact and make informed mitigation decisions. This research analyzes the population, properties, and road networks potentially exposed to the 100, 200, and 500-year flood events at the county level in the State of Iowa using geospatial analytics. We also propose a flood exposure index at the county level using fuzzy overlay analysis to help find the most impacted county. During flooding, results indicate that the county-level percentage of displaced population, impacted properties, and road length can reach up to 46%, 41%, and 40%, respectively. We found that the most exposed buildings and roads are laid in residential areas. Also, 25% of the counties are designated as very high-exposure areas. This study can help many stakeholders identify vulnerable areas and ensure equitable distribution of investments and resources toward flood mitigation projects.
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